A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms

Multiobjective evolutionary algorithms based on decomposition (MOEA/D) have attracted tremendous attention and achieved great success in the fields of optimization and decision-making. MOEA/Ds work by decomposing the target multiobjective optimization problem (MOP) into multiple single-objective sub...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 24; H. 4; S. 634 - 649
Hauptverfasser:	Ma, Xiaoliang, Yu, Yanan, Li, Xiaodong, Qi, Yutao, Zhu, Zexuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computer science Decision making Decomposition Decomposition-based MOEA Evolutionary algorithms Evolutionary computation Genetic algorithms Mopping multiobjective evolutionary algorithms multiobjective evolutionary algorithms based on decomposition (MOEA/D) Multiple objective analysis Pareto optimization Shape Sociology Weight weight vector adjustment
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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